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Counterfactual Inference

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Showing 51–100 of 124 papers

TitleStatusHype
Meta-causal Learning for Single Domain Generalization—0
Achieving Counterfactual Fairness with Imperfect Structural Causal ModelCode0
Measuring axiomatic soundness of counterfactual image modelsCode1
Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual QueriesCode1
A Counterfactual Collaborative Session-based Recommender SystemCode1
Counterfactual (Non-)identifiability of Learned Structural Causal Models—0
Causal Inference for Knowledge Graph based RecommendationCode0
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning—0
Learning to Bound Counterfactual Inference from Observational, Biased and Randomised DataCode0
Doubly robust nearest neighbors in factor modelsCode0
Counterfactual Learning with Multioutput Deep KernelsCode0
On counterfactual inference with unobserved confounding—0
Counterfactual Data Augmentation via Perspective Transition for Open-Domain DialoguesCode0
Adaptive Experimental Design and Counterfactual Inference—0
Adversarial De-confounding in Individualised Treatment Effects Estimation—0
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation—0
Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning—0
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution GeneralizationCode0
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects—0
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment AnalysisCode1
A Constructive GAN-based Approach to Exact Estimate Treatment Effect without Matching—0
User-controllable Recommendation Against Filter BubblesCode1
SurvCaus : Representation Balancing for Survival Causal InferenceCode0
Counterfactual Inference of Second OpinionsCode0
Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows—0
Counterfactual inference for sequential experimentsCode0
Personalized Public Policy Analysis in Social Sciences using Causal-Graphical Normalizing Flows—0
Causal Inference Through the Structural Causal Marginal ProblemCode0
Cycle-Balanced Representation Learning For Counterfactual InferenceCode0
Counterfactual Debiasing Inference for Compositional Action RecognitionCode1
Causal Representation Learning for Context-Aware Face Transfer—0
ICPE: An Item Cluster-Wise Pareto-Efficient Framework for Recommendation Debiasing—0
HypoGen: Hyperbole Generation with Commonsense and Counterfactual KnowledgeCode0
Estimating Categorical Counterfactuals via Deep Twin Networks—0
Counterfactual Inference for Text Classification DebiasingCode1
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware RecommendationCode0
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and FairnessCode1
Harmonization with Flow-based Causal InferenceCode0
Learning from Counterfactual Links for Link PredictionCode1
NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments—0
A Structural Causal Model for MR Images of Multiple SclerosisCode1
Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability—0
Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral PathogenesisCode1
Neural Network Extrapolations with G-invariances from a Single Environment—0
Time Series Counterfactual Inference with Hidden Confounders—0
Causal Expectation-MaximisationCode0
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender SystemCode0
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait IssueCode1
SemEval-2020 Task 5: Counterfactual RecognitionCode0
Shopping in the Multiverse: A Counterfactual Approach to In-Session Attribution—0
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